Monitoring lipid alterations in Drosophila heads in an amyotrophic lateral sclerosis model with time-of-flight secondary ion mass spectrometry.

Lipid alterations in the brain are well-documented in disease and aging, but our understanding of their pathogenic implications remains incomplete. Recent technological advances in assessing lipid profiles have enabled us to intricately examine the spatiotemporal variations in lipid compositions within the complex brain characterized by diverse cell types and intricate neural networks. In this study, we coupled time-of-flight secondary ion mass spectrometry (ToF-SIMS) to an amyotrophic lateral sclerosis (ALS) Drosophila model, for the first time, to elucidate changes in the lipid landscape and investigate their potential role in the disease process, serving as a methodological and analytical complement to our prior approach that utilized matrix-assisted laser desorption/ionization mass spectrometry. The expansion of G4C2 repeats in the C9orf72 gene is the most prevalent genetic factor in ALS. Our findings indicate that expressing these repeats in fly brains elevates the levels of fatty acids, diacylglycerols, and ceramides during the early stages (day 5) of disease progression, preceding motor dysfunction. Using RNAi-based genetic screening targeting lipid regulators, we found that reducing fatty acid transport protein 1 (FATP1) and Acyl-CoA-binding protein (ACBP) alleviates the retinal degeneration caused by G4C2 repeat expression and also markedly restores the G4C2-dependent alterations in lipid profiles. Significantly, the expression of FATP1 and ACBP is upregulated in G4C2-expressing flies, suggesting their contribution to lipid dysregulation. Collectively, our novel use of ToF-SIMS with the ALS Drosophila model, alongside methodological and analytical improvements, successfully identifies crucial lipids and related genetic factors in ALS pathogenesis.

Ar-gas cluster ion beam in ToF-SIMS for peptide and protein analysis.

Since Ar-gas cluster ion beams (Ar-GCIBs) have been introduced into time-of-flight secondary ion mass spectrometry (ToF-SIMS), there have been various attempts to analyze organic materials and biomolecules that require low-damage analysis and high sensitivity, because Ar-GCIBs allow soft ionization of large molecules such as peptides and proteins due to the low energy per atom. Here, the authors adopted the Ar-GCIB as a primary beam to detect proteins including human insulin, ubiquitin, and cytochrome C (molecular weights are 5808, 8564, and 12 327 Da, respectively). They have confirmed that the detection of the intact proteins was possible when the Ar-GCIB was used as a primary ion beam. In addition, they successfully identified each protein by analyzing the trypsin-digested peptides in myoglobin, cytochrome C, and bovine serum albumin. They also attempted on-surface enzymatic digestion to identify proteins on the surface of the Si wafer and obtained results identical to those of in-solution digestion. It is expected that the authors' on-surface digestion method can enable the application of ToF-SIMS for the analysis of proteins present in biological tissues.